Challenges in Search Performance: When dealing with large volumes of data in QRadar, searches can become slow if the data is not indexed properly. To improve search performance, specific property types can be utilized.

Property Types Overview:

Tabled Properties: Refer to data stored in tabular format but do not inherently improve search performance.

Indexed Properties: Properties that have an index created for them, significantly speeding up search operations by allowing quick lookups.

Stored Properties: Simply refers to properties that are stored but not necessarily indexed.

Common Properties: General properties used across various rules and searches but do not improve search performance specifically.

Importance of Indexed Properties: Indexed properties are specifically designed to enhance search performance by creating an index that allows QRadar to quickly locate the data without scanning the entire dataset.

Reference Confirmation: According to IBM QRadar documentation, using indexed properties is the recommended approach to reduce data volume searched and to shorten search times, making them the best choice for improving search performance.

References:

IBM QRadar documentation on optimizing search performance highlights the use of indexed properties to enhance search efficiency.